selkhayri Goto Github PK

autosrus_mechacar

Using Multiple Linear Regression, the data set is analysed to determine which independent variables provide a non-random amount of variance to the dependent variable and conclude whether a linear model would be sufficiently predictive.

bombay_-mumbai-_temps

Predicting daily temperatures in Mumbai, India

cryptocurrencies

Using unsupervised machine learning, namely K-means Clustering and Principal Component Analysis, to determine which cryptocurrencies are good investments.

cuboulder-image-labelling

deep_neural_networks_with_pytorch

determining_credit_risk

The aim of this project is to determine which classification technique produces the best results when applied to the task of determining credit riskiness.

edmonton-stairs-project

Interactive map of outdoor staircases in Edmonton, Alberta, Canada

election_analysis

An analysis of the results of a congressional election to determine total votes cast, candidates who received votes, the number of votes each candidate received, the percentage of votes each candidate won, and the winner based on the popular vote. Voter turnout is also displayed as a percentage of the total population for each county.

emotions_dataset_with_nlp

The aim of this project is to determine the emotion that is associated with a given body of text.

fake_news_detector

The Fake News Detector uses a supervised training approach to classify which news articles are fake - likely false - and which ones are real - likely true.

flaskapi-ner

Named-entity recognition model deployment

gkpbt-css-circle

css-circle

kickstarter_analysis

The aim of this project is to carry out an analysis on Kickstarter data to determine the chances of success for fundraising campaigns based on monetary target and launch time of year.

mapping_earthquakes

A interactive map showing, among other featues, the severity of earthquakes in relation to the tectonic plates with data retrieved through API calls using the D3 library, and creating plots using the Leaflet library.

mission_to_mars

The aim of this project is to scrape the NASA news site to retrieve images and data related to Mars.

nlpwithpytorch-1

ph_retirement_planning

An analysis of retirement planning measures to mitigate the risks of the impending retirement of thousands of employees.

predict_now

PredictNow project

pyber_analysis

Key data metrics from a ride sharing company are compiled and summarised. Thereafter, line graphs are plotted for each city type to visualise the differences among them.

school_district_analysis

Analysing student grades using a number of related measures, like school budgets, class sizes, etc.

selkhayri.github.io

My Portfolio

stock_analysis

The aim of this project is to refactor an existing stock analysis process in order to optimize the VBA code and make it run faster.

surfs_up

The aim of this project was to determine the viability of establishing an ice cream and surf shop on the island of Oahu, Hawaii. To accomplish this goal, the seasonal weather data of the island was analyzed for the months of June and December for the years between 2010 and 2017, inclusive. The weather data was obtained from nine (9) weather monitoring stations and stored in an sqlite database named hawaii.sqlite.

ufos

The purpose of this project was to create a web page which can be used to search through recorded sightings of UFOs.

world_weather_analysis

The aim of this project is display travel-related information, such weather data and accommodation data, on a map.

xzceb-flask_eng_fr

flask_enf_fr